Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2107.09822
Cited By
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
21 July 2021
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
BDL
OffRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics"
17 / 17 papers shown
Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
BDL
AI4CE
42
0
0
12 May 2025
Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning
H. Cao
Y. Mao
L. Sha
Marco Caccamo
OffRL
95
0
0
17 Dec 2024
Simplex-enabled Safe Continual Learning Machine
H. Cao
Y. Mao
Yihao Cai
L. Sha
Marco Caccamo
36
3
0
05 Sep 2024
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
Emma Cramer
Bernd Frauenknecht
Ramil Sabirov
Sebastian Trimpe
OffRL
OnRL
52
3
0
28 Jun 2024
Learning Multimodal Confidence for Intention Recognition in Human-Robot Interaction
Xiyuan Zhao
Huijun Li
Tianyuan Miao
Xianyi Zhu
Zhikai Wei
Ai-guo Song
16
1
0
23 May 2024
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Chengmin Zhou
Chao Wang
Haseeb Hassan
H. Shah
Bingding Huang
Pasi Fränti
3DV
38
3
0
16 Jul 2023
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
H. Cao
Y. Mao
L. Sha
Marco Caccamo
PINN
AI4CE
32
5
0
26 May 2023
Robotic Packaging Optimization with Reinforcement Learning
E. Drijver
Rodrigo Pérez-Dattari
Jens Kober
Cosimo Della Santina
Zlatan Ajanović
OffRL
23
1
0
26 Mar 2023
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning
Ju-Bong Kim
Ho-bin Choi
Youn-Hee Han
16
4
0
27 Dec 2022
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
Giulia Vezzani
Dhruva Tirumala
Markus Wulfmeier
Dushyant Rao
A. Abdolmaleki
...
Tim Hertweck
Thomas Lampe
Fereshteh Sadeghi
N. Heess
Martin Riedmiller
OffRL
38
6
0
24 Nov 2022
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
Krishan Rana
Ming Xu
Brendan Tidd
Michael Milford
Niko Sünderhauf
23
25
0
04 Nov 2022
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills
Julia Tan
Ransalu Senanayake
Fabio Ramos
26
2
0
03 Jul 2022
Learning to Drive Using Sparse Imitation Reinforcement Learning
Yuci Han
Alper Yilmaz
23
1
0
24 May 2022
Hybrid LMC: Hybrid Learning and Model-based Control for Wheeled Humanoid Robot via Ensemble Deep Reinforcement Learning
D. Baek
Amartya Purushottam
Joao Ramos
23
9
0
07 Apr 2022
Verification of safety critical control policies using kernel methods
Nikolaus Vertovec
Sina Ober-Blobaum
Kostas Margellos
24
2
0
23 Mar 2022
Robot Learning of Mobile Manipulation with Reachability Behavior Priors
Snehal Jauhri
Jan Peters
Georgia Chalvatzaki
18
45
0
08 Mar 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
1